Abstract
We present textual logic (TL), a novel approach that enables rapid semi-automatic acquisition of rich logical knowledge from text. The resulting axioms are expressed as defeasible higher-order logic formulas in Rulelog, a novel extended form of declarative logic programs. A key element of TL is textual terminology, a phrasal style of knowledge in which words/word-senses are used directly as logical constants. Another key element of TL is a method for rapid interactive disambiguation as part of logic-based text interpretation. Existential quantifiers are frequently required, and we describe Rulelog’s approach to making existential knowledge be defeasible. We describe results from a pilot experiment that represented the knowledge from several thousand English sentences in the domain of college-level cell biology, for purposes of question-answering.
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Grosof, B.N. (2013). Rapid Text-Based Authoring of Defeasible Higher-Order Logic Formulas, via Textual Logic and Rulelog. In: Morgenstern, L., Stefaneas, P., Lévy, F., Wyner, A., Paschke, A. (eds) Theory, Practice, and Applications of Rules on the Web. RuleML 2013. Lecture Notes in Computer Science, vol 8035. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39617-5_2
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DOI: https://doi.org/10.1007/978-3-642-39617-5_2
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